基于并行MLFMA的金属介质混合目标RCS计算  

RCS computation of metal dielectric mixture target based on parallel MLFMA

作　　者：刘香岚[1] 彭世蕤[1] 于家傲[1] 陈新[1] LIU Xianglan;PENG Shirui;YU Jiaao;CHEN Xin(Air Force EarlyWarning Academy,Wuhan 430019, China)

机构地区：[1]空军预警学院,武汉430019

出　　处：《空军预警学院学报》2017年第1期11-14,共4页Journal of Air Force Early Warning Academy

摘　　要：针对电大尺寸金属介质混合目标的RCS计算问题,采用基于体面积分方程(VSIE)的矩量法对目标RCS进行解算,并通过并行多层快速多极子算法(MLFMA)进行加速求解.通过建立介质覆盖的金属球模型,给出了MLFMA的并行加速比;利用金属介质混合材料无人机模型,给出了不同极化条件下的RCS.仿真结果表明,并行MLFMA在保证计算精度的条件下,有效减少了单台计算机的内存消耗且速度大幅度提高,明显提高了电大尺寸目标RCS的求解效率.In order to calculate the radar cross section (RCS) of electrically large metal dielectric mixture target, in this paper the moment method based on volume-surface integral equation (VSIE) is used to calculate the RCS, and the parallel multilevel fast multipole algorithm (MLFMA) is utilized to accelerate the solving. In the paper the MLFMA parallel acceleration ratio is offered by establishing metal sphere model coated with dielectric,and the RCS under different polarization conditions worked out by utilizing the unmanned aerial vehicle (UAV) model of metal dielectric mixed material. Simulation results show that the parallel MLFMA can effectively reduce the memory consumption of single computer and increase the speed greatly under the condition of guaranteeing the calculation accuracy, which significantly improves the efficiency of solving the RCS of electrically large targets.

关 键 词：金属介质混合目标 雷达散射截面 并行多层快速多极子 

分 类 号：TN951[电子电信—信号与信息处理]